Pandas Profiling Report

Dataset statistics

Number of variables	24
Number of observations	97065
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	2980
Duplicate rows (%)	3.1%
Total size in memory	16.1 MiB
Average record size in memory	174.0 B

Variable types

Boolean	2
Numeric	10
Categorical	12

Alerts

`x3_Mozilla/5.0` has constant value "1.0"	Constant
`x4_KHTML/3.5.8 (like Gecko)` has constant value "1.0"	Constant
`x5_HTTP/1.1` has constant value "1.0"	Constant
`x6_compatible; Konqueror/3.5; Linux` has constant value "1.0"	Constant
Dataset has 2980 (3.1%) duplicate rows	Duplicates
`Content-Length` is highly correlated with `num_of_args` and 5 other fields	High correlation
`num_of_args` is highly correlated with `Content-Length` and 8 other fields	High correlation
`max_length_of_args` is highly correlated with `num_of_args` and 4 other fields	High correlation
`min_length_of_args` is highly correlated with `num_of_args` and 6 other fields	High correlation
`total_length_args` is highly correlated with `Content-Length` and 5 other fields	High correlation
`total_length_request` is highly correlated with `max_length_of_args` and 3 other fields	High correlation
`lenght_of_path` is highly correlated with `num_of_paths`	High correlation
`port_is_common` is highly correlated with `x0_PUT` and 2 other fields	High correlation
`num_of_paths` is highly correlated with `lenght_of_path`	High correlation
`num_sql_words` is highly correlated with `total_length_request`	High correlation
`num_special_chars` is highly correlated with `num_of_args` and 4 other fields	High correlation
`x0_GET` is highly correlated with `Content-Length` and 5 other fields	High correlation
`x0_POST` is highly correlated with `Content-Length` and 4 other fields	High correlation
`x0_PUT` is highly correlated with `port_is_common` and 2 other fields	High correlation
`x1_localhost:8080` is highly correlated with `port_is_common` and 2 other fields	High correlation
`x1_localhost:9090` is highly correlated with `port_is_common` and 2 other fields	High correlation
`x2_application/x-www-form-urlencoded` is highly correlated with `Content-Length` and 5 other fields	High correlation
`x2_nan` is highly correlated with `Content-Length` and 5 other fields	High correlation
`Content-Length` is highly correlated with `num_of_args` and 5 other fields	High correlation
`num_of_args` is highly correlated with `Content-Length` and 3 other fields	High correlation
`max_length_of_args` is highly correlated with `total_length_args` and 1 other fields	High correlation
`total_length_args` is highly correlated with `Content-Length` and 4 other fields	High correlation
`total_length_request` is highly correlated with `num_of_args` and 3 other fields	High correlation
`lenght_of_path` is highly correlated with `num_of_paths`	High correlation
`port_is_common` is highly correlated with `x0_PUT` and 2 other fields	High correlation
`num_of_paths` is highly correlated with `lenght_of_path`	High correlation
`num_sql_words` is highly correlated with `total_length_request`	High correlation
`num_special_chars` is highly correlated with `num_of_args` and 3 other fields	High correlation
`x0_GET` is highly correlated with `Content-Length` and 3 other fields	High correlation
`x0_POST` is highly correlated with `Content-Length` and 3 other fields	High correlation
`x0_PUT` is highly correlated with `port_is_common` and 2 other fields	High correlation
`x1_localhost:8080` is highly correlated with `port_is_common` and 2 other fields	High correlation
`x1_localhost:9090` is highly correlated with `port_is_common` and 2 other fields	High correlation
`x2_application/x-www-form-urlencoded` is highly correlated with `Content-Length` and 3 other fields	High correlation
`x2_nan` is highly correlated with `Content-Length` and 3 other fields	High correlation
`Content-Length` is highly correlated with `num_of_args` and 5 other fields	High correlation
`num_of_args` is highly correlated with `Content-Length` and 4 other fields	High correlation
`max_length_of_args` is highly correlated with `num_of_args` and 3 other fields	High correlation
`min_length_of_args` is highly correlated with `num_of_args` and 3 other fields	High correlation
`total_length_args` is highly correlated with `Content-Length` and 4 other fields	High correlation
`total_length_request` is highly correlated with `num_sql_words`	High correlation
`port_is_common` is highly correlated with `x0_PUT` and 2 other fields	High correlation
`num_sql_words` is highly correlated with `total_length_request`	High correlation
`num_special_chars` is highly correlated with `num_of_args` and 3 other fields	High correlation
`x0_GET` is highly correlated with `Content-Length` and 3 other fields	High correlation
`x0_POST` is highly correlated with `Content-Length` and 3 other fields	High correlation
`x0_PUT` is highly correlated with `port_is_common` and 2 other fields	High correlation
`x1_localhost:8080` is highly correlated with `port_is_common` and 2 other fields	High correlation
`x1_localhost:9090` is highly correlated with `port_is_common` and 2 other fields	High correlation
`x2_application/x-www-form-urlencoded` is highly correlated with `Content-Length` and 3 other fields	High correlation
`x2_nan` is highly correlated with `Content-Length` and 3 other fields	High correlation
`x0_PUT` is highly correlated with `port_is_common` and 6 other fields	High correlation
`port_is_common` is highly correlated with `x0_PUT` and 6 other fields	High correlation
`x3_Mozilla/5.0` is highly correlated with `x0_PUT` and 12 other fields	High correlation
`x5_HTTP/1.1` is highly correlated with `x0_PUT` and 12 other fields	High correlation
`x0_POST` is highly correlated with `x3_Mozilla/5.0` and 6 other fields	High correlation
`x2_nan` is highly correlated with `x3_Mozilla/5.0` and 6 other fields	High correlation
`anomalous` is highly correlated with `x3_Mozilla/5.0` and 3 other fields	High correlation
`x0_GET` is highly correlated with `x3_Mozilla/5.0` and 6 other fields	High correlation
`x2_application/x-www-form-urlencoded` is highly correlated with `x3_Mozilla/5.0` and 6 other fields	High correlation
`num_batch_words` is highly correlated with `x3_Mozilla/5.0` and 3 other fields	High correlation
`x4_KHTML/3.5.8 (like Gecko)` is highly correlated with `x0_PUT` and 12 other fields	High correlation
`x6_compatible; Konqueror/3.5; Linux` is highly correlated with `x0_PUT` and 12 other fields	High correlation
`x1_localhost:9090` is highly correlated with `x0_PUT` and 6 other fields	High correlation
`x1_localhost:8080` is highly correlated with `x0_PUT` and 6 other fields	High correlation
`Content-Length` is highly correlated with `num_of_args` and 3 other fields	High correlation
`num_of_args` is highly correlated with `Content-Length` and 10 other fields	High correlation
`max_length_of_args` is highly correlated with `Content-Length` and 3 other fields	High correlation
`min_length_of_args` is highly correlated with `num_of_args` and 1 other fields	High correlation
`total_length_args` is highly correlated with `Content-Length` and 4 other fields	High correlation
`total_length_request` is highly correlated with `num_of_args` and 4 other fields	High correlation
`lenght_of_path` is highly correlated with `num_of_args` and 1 other fields	High correlation
`port_is_common` is highly correlated with `x0_PUT` and 2 other fields	High correlation
`num_of_paths` is highly correlated with `min_length_of_args` and 1 other fields	High correlation
`num_sql_words` is highly correlated with `num_of_args` and 2 other fields	High correlation
`num_special_chars` is highly correlated with `Content-Length` and 5 other fields	High correlation
`x0_GET` is highly correlated with `num_of_args` and 3 other fields	High correlation
`x0_POST` is highly correlated with `num_of_args` and 3 other fields	High correlation
`x0_PUT` is highly correlated with `port_is_common` and 2 other fields	High correlation
`x1_localhost:8080` is highly correlated with `port_is_common` and 2 other fields	High correlation
`x1_localhost:9090` is highly correlated with `port_is_common` and 2 other fields	High correlation
`x2_application/x-www-form-urlencoded` is highly correlated with `num_of_args` and 3 other fields	High correlation
`x2_nan` is highly correlated with `num_of_args` and 3 other fields	High correlation
`Content-Length` has 71088 (73.2%) zeros	Zeros
`num_of_args` has 45479 (46.9%) zeros	Zeros
`max_length_of_args` has 45479 (46.9%) zeros	Zeros
`min_length_of_args` has 45479 (46.9%) zeros	Zeros
`total_length_args` has 45479 (46.9%) zeros	Zeros
`num_sql_words` has 73275 (75.5%) zeros	Zeros
`num_special_chars` has 51051 (52.6%) zeros	Zeros

Reproduction

Analysis started	2021-12-14 23:12:46.285503
Analysis finished	2021-12-14 23:13:59.685501
Duration	1 minute and 13.4 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

anomalous
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	94.9 KiB

False	72000
True	25065

Common Values
Chart

Value	Count	Frequency (%)
False	72000	74.2%
True	25065	25.8%

Content-Length
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	383
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.64981198

Minimum	0
Maximum	836
Zeros	71088
Zeros (%)	73.2%
Negative	0
Negative (%)	0.0%
Memory size	379.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	4
95-th percentile	248
Maximum	836
Range	836
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	70.20024723
Coefficient of variation (CV)	2.538905048
Kurtosis	11.54919941
Mean	27.64981198
Median Absolute Deviation (MAD)	0
Skewness	3.197737381
Sum	2683829
Variance	4928.074711
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	71088	73.2%
4	2057	2.1%
33	2054	2.1%
17	2046	2.1%
43	990	1.0%
38	965	1.0%
67	612	0.6%
74	566	0.6%
71	504	0.5%
34	460	0.5%
Other values (373)	15723	16.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	71088	73.2%
4	2057	2.1%
5	458	0.5%
6	39	< 0.1%
7	18	< 0.1%
8	74	0.1%
9	37	< 0.1%
12	37	< 0.1%
13	7	< 0.1%
14	35	< 0.1%

Value	Count	Frequency (%)
836	1	< 0.1%
835	1	< 0.1%
826	1	< 0.1%
824	2	< 0.1%
822	1	< 0.1%
820	1	< 0.1%
819	2	< 0.1%
815	1	< 0.1%
802	1	< 0.1%
799	1	< 0.1%

num_of_args
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.812599804

Minimum	0
Maximum	26
Zeros	45479
Zeros (%)	46.9%
Negative	0
Negative (%)	0.0%
Memory size	758.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	10
95-th percentile	26
Maximum	26
Range	26
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	8.823530216
Coefficient of variation (CV)	1.518000639
Kurtosis	0.9282909415
Mean	5.812599804
Median Absolute Deviation (MAD)	2
Skewness	1.538797344
Sum	564200
Variance	77.85468547
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	45479	46.9%
2	17693	18.2%
10	13604	14.0%
26	13555	14.0%
6	6722	6.9%
1	12	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	45479	46.9%
1	12	< 0.1%
2	17693	18.2%
6	6722	6.9%
10	13604	14.0%
26	13555	14.0%

Value	Count	Frequency (%)
26	13555	14.0%
10	13604	14.0%
6	6722	6.9%
2	17693	18.2%
1	12	< 0.1%
0	45479	46.9%

max_length_of_args
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	165
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.75353629

Minimum	0
Maximum	597
Zeros	45479
Zeros (%)	46.9%
Negative	0
Negative (%)	0.0%
Memory size	758.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	8
Q3	24
95-th percentile	44
Maximum	597
Range	597
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	29.8793528
Coefficient of variation (CV)	2.025233287
Kurtosis	198.8128948
Mean	14.75353629
Median Absolute Deviation (MAD)	8
Skewness	11.38734443
Sum	1432052
Variance	892.7757237
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	45479	46.9%
23	4177	4.3%
14	4040	4.2%
28	3916	4.0%
19	3211	3.3%
33	3137	3.2%
24	3079	3.2%
15	2918	3.0%
10	2874	3.0%
2	2064	2.1%
Other values (155)	22170	22.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	45479	46.9%
2	2064	2.1%
3	490	0.5%
4	18	< 0.1%
5	74	0.1%
6	37	< 0.1%
8	1165	1.2%
9	1775	1.8%
10	2874	3.0%
11	339	0.3%

Value	Count	Frequency (%)
597	5	< 0.1%
588	7	< 0.1%
587	5	< 0.1%
582	2	< 0.1%
581	2	< 0.1%
580	2	< 0.1%
579	1	< 0.1%
578	7	< 0.1%
576	2	< 0.1%
574	6	< 0.1%

min_length_of_args
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.35844022

Minimum	0
Maximum	19
Zeros	45479
Zeros (%)	46.9%
Negative	0
Negative (%)	0.0%
Memory size	758.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	8
Maximum	19
Range	19
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.966727343
Coefficient of variation (CV)	1.447783504
Kurtosis	6.296381141
Mean	1.35844022
Median Absolute Deviation (MAD)	1
Skewness	2.412116698
Sum	131857
Variance	3.868016441
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	45479	46.9%
2	35008	36.1%
1	8973	9.2%
8	4885	5.0%
3	1768	1.8%
9	888	0.9%
5	35	< 0.1%
7	17	< 0.1%
19	7	< 0.1%
13	5	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	45479	46.9%
1	8973	9.2%
2	35008	36.1%
3	1768	1.8%
5	35	< 0.1%
7	17	< 0.1%
8	4885	5.0%
9	888	0.9%
13	5	< 0.1%
19	7	< 0.1%

Value	Count	Frequency (%)
19	7	< 0.1%
13	5	< 0.1%
9	888	0.9%
8	4885	5.0%
7	17	< 0.1%
5	35	< 0.1%
3	1768	1.8%
2	35008	36.1%
1	8973	9.2%
0	45479	46.9%

total_length_args
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	445
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	52.01870911

Minimum	0
Maximum	820
Zeros	45479
Zeros (%)	46.9%
Negative	0
Negative (%)	0.0%
Memory size	758.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	12
Q3	60
95-th percentile	241
Maximum	820
Range	820
Interquartile range (IQR)	60

Descriptive statistics

Standard deviation	84.38372716
Coefficient of variation (CV)	1.622180339
Kurtosis	5.166963568
Mean	52.01870911
Median Absolute Deviation (MAD)	12
Skewness	2.074510917
Sum	5049196
Variance	7120.61341
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	45479	46.9%
41	2296	2.4%
32	2140	2.2%
16	2120	2.2%
3	2057	2.1%
25	2023	2.1%
12	2015	2.1%
33	1409	1.5%
42	1377	1.4%
47	1060	1.1%
Other values (435)	35089	36.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	45479	46.9%
3	2057	2.1%
4	458	0.5%
5	39	< 0.1%
6	18	< 0.1%
7	74	0.1%
8	37	< 0.1%
11	37	< 0.1%
12	2015	2.1%
13	498	0.5%

Value	Count	Frequency (%)
820	1	< 0.1%
819	1	< 0.1%
811	1	< 0.1%
810	2	< 0.1%
808	2	< 0.1%
806	1	< 0.1%
804	1	< 0.1%
803	2	< 0.1%
801	1	< 0.1%
799	3	< 0.1%

total_length_request
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	417
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	86.12705919

Minimum	31
Maximum	895
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	758.4 KiB

Quantile statistics

Minimum	31
5-th percentile	53
Q1	57
median	59
Q3	72
95-th percentile	307
Maximum	895
Range	864
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	70.24082847
Coefficient of variation (CV)	0.815548901
Kurtosis	11.60577026
Mean	86.12705919
Median Absolute Deviation (MAD)	5
Skewness	3.191510744
Sum	8359923
Variance	4933.773984
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
57	17468	18.0%
56	7623	7.9%
58	7585	7.8%
59	7471	7.7%
53	6051	6.2%
66	5114	5.3%
67	4077	4.2%
61	3648	3.8%
60	2289	2.4%
71	2176	2.2%
Other values (407)	33563	34.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
31	52	0.1%
32	6	< 0.1%
34	185	0.2%
35	59	0.1%
36	15	< 0.1%
38	5	< 0.1%
39	52	0.1%
40	98	0.1%
41	25	< 0.1%
42	236	0.2%

Value	Count	Frequency (%)
895	2	< 0.1%
886	1	< 0.1%
883	2	< 0.1%
881	1	< 0.1%
880	1	< 0.1%
879	2	< 0.1%
874	1	< 0.1%
862	1	< 0.1%
859	1	< 0.1%
854	1	< 0.1%

lenght_of_path
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	65
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50.32385515

Minimum	22
Maximum	88
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	758.4 KiB

Quantile statistics

Minimum	22
5-th percentile	45
Q1	48
median	49
Q3	52
95-th percentile	59
Maximum	88
Range	66
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	5.154815582
Coefficient of variation (CV)	0.1024328436
Kurtosis	6.552216591
Mean	50.32385515
Median Absolute Deviation (MAD)	1
Skewness	0.8085316652
Sum	4884685
Variance	26.57212369
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
49	20830	21.5%
48	16819	17.3%
50	10949	11.3%
51	7471	7.7%
45	6051	6.2%
52	5650	5.8%
47	5441	5.6%
57	5092	5.2%
58	5077	5.2%
59	4077	4.2%
Other values (55)	9608	9.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
22	12	< 0.1%
23	52	0.1%
24	6	< 0.1%
26	185	0.2%
27	59	0.1%
28	10	< 0.1%
30	5	< 0.1%
31	52	0.1%
32	98	0.1%
33	25	< 0.1%

Value	Count	Frequency (%)
88	1	< 0.1%
87	8	< 0.1%
86	5	< 0.1%
85	3	< 0.1%
84	9	< 0.1%
83	13	< 0.1%
82	26	< 0.1%
81	32	< 0.1%
80	31	< 0.1%
79	27	< 0.1%

port_is_common
Boolean

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	94.9 KiB

True	96668
False	397

Common Values
Chart

Value	Count	Frequency (%)
True	96668	99.6%
False	397	0.4%

num_of_paths
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.03023747

Minimum	4
Maximum	18
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	758.4 KiB

Quantile statistics

Minimum	4
5-th percentile	7
Q1	7
median	7
Q3	7
95-th percentile	8
Maximum	18
Range	14
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.4491382656
Coefficient of variation (CV)	0.06388664217
Kurtosis	72.11202673
Mean	7.03023747
Median Absolute Deviation (MAD)	0
Skewness	1.910169501
Sum	682390
Variance	0.2017251816
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
7	85079	87.7%
8	7291	7.5%
6	3202	3.3%
5	813	0.8%
9	420	0.4%
4	214	0.2%
10	29	< 0.1%
18	17	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4	214	0.2%
5	813	0.8%
6	3202	3.3%
7	85079	87.7%
8	7291	7.5%
9	420	0.4%
10	29	< 0.1%
18	17	< 0.1%

Value	Count	Frequency (%)
18	17	< 0.1%
10	29	< 0.1%
9	420	0.4%
8	7291	7.5%
7	85079	87.7%
6	3202	3.3%
5	813	0.8%
4	214	0.2%

num_sql_words
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3893885541

Minimum	0
Maximum	5
Zeros	73275
Zeros (%)	75.5%
Negative	0
Negative (%)	0.0%
Memory size	758.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	5
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.7628178174
Coefficient of variation (CV)	1.959014484
Kurtosis	2.745747875
Mean	0.3893885541
Median Absolute Deviation (MAD)	0
Skewness	1.92013924
Sum	37796
Variance	0.5818910225
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	73275	75.5%
1	12436	12.8%
2	8744	9.0%
3	2569	2.6%
4	40	< 0.1%
5	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	73275	75.5%
1	12436	12.8%
2	8744	9.0%
3	2569	2.6%
4	40	< 0.1%
5	1	< 0.1%

Value	Count	Frequency (%)
5	1	< 0.1%
4	40	< 0.1%
3	2569	2.6%
2	8744	9.0%
1	12436	12.8%
0	73275	75.5%

num_batch_words
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	758.4 KiB

0	95340
1	1596
2	124
3	5

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	95340	98.2%
1	1596	1.6%
2	124	0.1%
3	5	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	95340	98.2%
1	1596	1.6%
2	124	0.1%
3	5	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

num_special_chars
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	65
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.76937104

Minimum	0
Maximum	130
Zeros	51051
Zeros (%)	52.6%
Negative	0
Negative (%)	0.0%
Memory size	758.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	4
95-th percentile	16
Maximum	130
Range	130
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	7.320669255
Coefficient of variation (CV)	1.942146097
Kurtosis	90.37716947
Mean	3.76937104
Median Absolute Deviation (MAD)	0
Skewness	6.842379097
Sum	365874
Variance	53.59219834
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	51051	52.6%
4	8208	8.5%
1	6459	6.7%
3	5867	6.0%
7	2383	2.5%
5	2039	2.1%
13	1874	1.9%
12	1785	1.8%
9	1783	1.8%
14	1740	1.8%
Other values (55)	13876	14.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	51051	52.6%
1	6459	6.7%
2	1611	1.7%
3	5867	6.0%
4	8208	8.5%
5	2039	2.1%
6	1395	1.4%
7	2383	2.5%
8	988	1.0%
9	1783	1.8%

Value	Count	Frequency (%)
130	1	< 0.1%
129	1	< 0.1%
127	2	< 0.1%
126	5	< 0.1%
125	2	< 0.1%
124	2	< 0.1%
123	8	< 0.1%
122	3	< 0.1%
121	2	< 0.1%
120	7	< 0.1%

x0_GET
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	758.4 KiB

1.0	71088
0.0	25977

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	71088	73.2%
0.0	25977	26.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	71088	73.2%
0.0	25977	26.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

x0_POST
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	758.4 KiB

0.0	71485
1.0	25580

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	71485	73.6%
1.0	25580	26.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	71485	73.6%
1.0	25580	26.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

x0_PUT
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	758.4 KiB

0.0	96668
1.0	397

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	96668	99.6%
1.0	397	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	96668	99.6%
1.0	397	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

x1_localhost:8080
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	758.4 KiB

1.0	96668
0.0	397

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	96668	99.6%
0.0	397	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	96668	99.6%
0.0	397	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

x1_localhost:9090
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	758.4 KiB

0.0	96668
1.0	397

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	96668	99.6%
1.0	397	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	96668	99.6%
1.0	397	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

x2_application/x-www-form-urlencoded
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	758.4 KiB

0.0	71088
1.0	25977

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	71088	73.2%
1.0	25977	26.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	71088	73.2%
1.0	25977	26.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

x2_nan
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	758.4 KiB

1.0	71088
0.0	25977

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	71088	73.2%
0.0	25977	26.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	71088	73.2%
0.0	25977	26.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

x3_Mozilla/5.0
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	758.4 KiB

1.0	97065

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	97065	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	97065	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

x4_KHTML/3.5.8 (like Gecko)
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	758.4 KiB

1.0	97065

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	97065	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	97065	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

x5_HTTP/1.1
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	758.4 KiB

1.0	97065

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	97065	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	97065	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

x6_compatible; Konqueror/3.5; Linux
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	758.4 KiB

1.0	97065

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	97065	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	97065	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	anomalous	Content-Length	num_of_args	max_length_of_args	min_length_of_args	total_length_args	total_length_request	lenght_of_path	port_is_common	num_of_paths	num_sql_words	num_special_chars	x0_GET	x0_POST	x1_localhost:8080	x2_application/x-www-form-urlencoded	x2_nan	x3_Mozilla/5.0	x4_KHTML/3.5.8 (like Gecko)	x5_HTTP/1.1	x6_compatible; Konqueror/3.5; Linux
0	False	0	0	0	0	0	48	40	True	6	0	0	1.0	0.0	1.0	0.0	1.0	1.0	1.0	1.0	1.0
1	False	0	10	28	1	74	132	48	True	7	0	9	1.0	0.0	1.0	0.0	1.0	1.0	1.0	1.0	1.0
2	False	74	10	19	1	65	57	49	True	7	0	6	0.0	1.0	1.0	1.0	0.0	1.0	1.0	1.0	1.0
3	False	0	10	15	2	60	122	52	True	7	0	3	1.0	0.0	1.0	0.0	1.0	1.0	1.0	1.0	1.0
4	False	60	10	9	2	51	61	53	True	7	0	0	0.0	1.0	1.0	1.0	0.0	1.0	1.0	1.0	1.0
5	False	0	2	10	2	12	71	57	True	7	1	3	1.0	0.0	1.0	0.0	1.0	1.0	1.0	1.0	1.0
6	False	4	2	2	1	3	66	58	True	7	1	0	0.0	1.0	1.0	1.0	0.0	1.0	1.0	1.0	1.0
7	False	0	0	0	0	0	58	50	True	7	0	0	1.0	0.0	1.0	0.0	1.0	1.0	1.0	1.0	1.0
8	False	0	2	33	8	41	91	48	True	7	2	4	1.0	0.0	1.0	0.0	1.0	1.0	1.0	1.0	1.0
9	False	33	2	24	8	32	57	49	True	7	0	1	0.0	1.0	1.0	1.0	0.0	1.0	1.0	1.0	1.0

Last rows

	anomalous	Content-Length	num_of_args	max_length_of_args	min_length_of_args	total_length_args	total_length_request	lenght_of_path	port_is_common	num_of_paths	num_sql_words	num_special_chars	x0_GET	x0_POST	x0_PUT	x1_localhost:8080	x1_localhost:9090	x2_application/x-www-form-urlencoded	x2_nan	x3_Mozilla/5.0	x4_KHTML/3.5.8 (like Gecko)	x5_HTTP/1.1	x6_compatible; Konqueror/3.5; Linux
97055	True	254	26	31	2	229	57	49	False	7	0	12	0.0	0.0	1.0	0.0	1.0	1.0	0.0	1.0	1.0	1.0	1.0
97056	True	0	26	73	2	304	379	49	True	7	2	22	1.0	0.0	0.0	1.0	0.0	0.0	1.0	1.0	1.0	1.0	1.0
97057	True	320	26	73	2	295	58	50	True	7	0	19	0.0	1.0	0.0	1.0	0.0	1.0	0.0	1.0	1.0	1.0	1.0
97058	True	0	26	31	2	242	317	49	True	7	2	17	1.0	0.0	0.0	1.0	0.0	0.0	1.0	1.0	1.0	1.0	1.0
97059	True	258	26	31	2	233	58	50	True	7	0	14	0.0	1.0	0.0	1.0	0.0	1.0	0.0	1.0	1.0	1.0	1.0
97060	True	0	26	31	2	239	314	49	True	7	2	15	1.0	0.0	0.0	1.0	0.0	0.0	1.0	1.0	1.0	1.0	1.0
97061	True	255	26	31	2	230	58	50	True	7	0	12	0.0	1.0	0.0	1.0	0.0	1.0	0.0	1.0	1.0	1.0	1.0
97062	True	0	0	0	0	0	62	54	True	7	0	0	1.0	0.0	0.0	1.0	0.0	0.0	1.0	1.0	1.0	1.0	1.0
97063	True	0	0	0	0	0	54	46	True	8	0	0	1.0	0.0	0.0	1.0	0.0	0.0	1.0	1.0	1.0	1.0	1.0
97064	True	0	0	0	0	0	69	61	True	7	0	0	1.0	0.0	0.0	1.0	0.0	0.0	1.0	1.0	1.0	1.0	1.0

Most frequently occurring

	anomalous	total_length_request	lenght_of_path	port_is_common	num_of_paths	x0_GET	x1_localhost:8080	x2_nan	x3_Mozilla/5.0	x4_KHTML/3.5.8 (like Gecko)	x5_HTTP/1.1	x6_compatible; Konqueror/3.5; Linux	# duplicates
4	False	57	49	True	7	1.0	1.0	1.0	1.0	1.0	1.0	1.0	8000
1	False	53	45	True	7	1.0	1.0	1.0	1.0	1.0	1.0	1.0	6000
3	False	56	48	True	7	1.0	1.0	1.0	1.0	1.0	1.0	1.0	4000
5	False	58	50	True	7	1.0	1.0	1.0	1.0	1.0	1.0	1.0	4000
6	False	59	51	True	7	1.0	1.0	1.0	1.0	1.0	1.0	1.0	4000
0	False	48	40	True	6	1.0	1.0	1.0	1.0	1.0	1.0	1.0	2000
2	False	55	47	True	7	1.0	1.0	1.0	1.0	1.0	1.0	1.0	2000
7	False	60	52	True	7	1.0	1.0	1.0	1.0	1.0	1.0	1.0	2000
8	False	65	57	True	7	1.0	1.0	1.0	1.0	1.0	1.0	1.0	2000
9	False	66	58	True	8	1.0	1.0	1.0	1.0	1.0	1.0	1.0	2000

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script